Shree K Bhattarai

Senior Data Scientist · MLOps · Predictive Analytics

Shree K Bhattarai,
Ph.D.

Senior Data Scientist with 5+ years developing and deploying predictive statistical and machine learning models to solve complex business problems. Expert in the full data science lifecycle — with a proven track record of translating data-driven insights into quantifiable business impact.


Experience

Jan 2024 – Present

Data Scientist

American Tire Distributors

Huntersville, NC

expand
  • Engineered a sales forecasting model for 100K+ SKUs across hundreds of centers deployed on Vertex AI, boosting accuracy by 6% over the commercial baseline.
  • Built a BigQuery SQL pipeline automating equivalent tire identification, cutting alternative-recommendation time from weeks to under 24 hours after vendor loss.
  • Developed an NLP + tree-based classification model for tire equivalency, boosting sales by ~3%.
  • Created Python simulation models and dashboards for inventory management, contributing to a ~4% reduction in overstocking.
  • Owned full lifecycle of a clustering model (Vertex AI) delivering distribution center location recommendations based on sales, location, and demand.

Feb 2021 – Dec 2023

Data Scientist

Torqata Data and Analytics

Huntersville, NC

expand
  • Key IC in a fast-paced startup, designing and deploying complex data products from 0-to-1.
  • Built a customer sales dashboard leveraging large-scale POS data for competitive performance insights across geographic levels.
  • Partnered with Data Engineering to design and deploy scalable data pipelines ensuring clean, error-free processing across microservices.
  • Led creation of a market insight dashboard in Looker Studio — adopted by major manufacturers as a premium product.
  • Enhanced classification models improving tire purchase prediction accuracy from 87% to 97%.

Jul 2015 – May 2022

Undergrad Lab Coordinator

UNC Charlotte

Charlotte, NC

expand
  • Authored lab manuals and delivered lectures for Physics-I and II lab courses.
  • Managed and mentored a team of 30+ graduate teaching assistants per semester, overseeing technical work to enhance lab efficiency and instructional quality.
  • Oversaw department website management and annual budget preparation.

Jun 2013 – Jun 2015

Lab Coordinator

Univ. of Texas at Arlington

Arlington, TX

expand
  • Increased lab manual revenue by 20% while reducing publication costs.
  • Delivered lectures and developed course materials for PHYS-102.
  • Automated grade management systems, reducing grade release time from one week to one day.

Education

Graduated May 2013

Doctor of Philosophy

Physics & Applied Physics

University of Texas at Arlington

Arlington, TX

Graduated May 2023

Master of Science

Data Science & Business Analytics

UNC Charlotte

Charlotte, NC


Technical Skills

Languages & Libraries

Python Pandas Polars Scikit-learn TensorFlow PySpark R SQL Statsmodel NetworkX Neo4j

Platforms & Tools

GCP / Vertex AI AWS BigQuery Docker Kubernetes Looker Studio Tableau GitHub KubeFlow Foundry

ML Expertise

Regression Classification Clustering Forecasting NLP Ensemble Methods Deep Learning Statistical Inference

Featured Projects

View all →